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DecisionBrain’s OPTIMA wins 2026 Eason Digital Innovation Award for maintenance optimization

IFS.ai expands industrial AI relevance for scheduling, service and operational planning

Pattison Food Group deploys Dematic automation for grocery fulfilment

Oracle embeds new AI agents across end-to-end supply chain operations

HashMicro expands its manufacturing platform with AI-native operational capabilities

NEURA Robotics raises up to $1.4 billion to scale its physical-AI platform

Clear Robotics raises $1.75 million to scale AI-enabled autonomous vessels

ARC India Forum frames industrial AI as production-grade operations

IBM, Gujarat and IAIRO plan Industrial AI Centre of Excellence

SAP embeds agents into manufacturing and supply-chain workflows at Hannover Messe

Service Program Manager, Supply Chain and Maintenance Planning, Labs

o9 Solutions Consultant / Senior Consultant

EVENT: Sunstice to host webinar on touchless demand planning and Agentic AI

EVENT: RailTrans Expo opens in New Delhi

EVENT: Anaplan Demonstrates AI-Assisted Model Maintenance with CoModeler

FAILURE: Capacity plans become mathematically correct and operationally wrong when constraints are stale

EVENT: Descartes AI Exchange examines AI agents for fleet performance

WARNING: Digital twins can create a second version of capacity if planning systems are not synchronized

EVENT: Alain Matar to demonstrate a Claude-built IBP engine for GSCC

RISK: Manufacturing Remains the Leading Ransomware Target

Maintenance optimization belongs inside capacity planning—not beside it

Physical-AI scale depends on the ecosystem around the robot

Category planning is policy governance—not spreadsheet maintenance

Capacity planning software should be selected by constraint fidelity, not vendor ranking

Planning software ROI needs finance attribution and post-go-live ownership

Always-on demand forecasting changes the infrastructure assumptions behind planning AI

Production planning is becoming a financial decision system—but most companies still govern it as scheduling

Lora Cecere asks whether companies should build Supply Chain planning applications themselves with AI

Two Logistics Markets, One Responsiveness Challenge: The Planning-Control Implication

A digital twin is useful only when it feeds one governed capacity truth

Why Forecast Accuracy Matters More Than AI Labels

Evaluating agentic AI for demand forecasting requires more than forecast accuracy

The automated dispatcher versus the empowered planner

AI is pushing Chinese factory robotics beyond highly standardized production

Reacting Before the Ripple Becomes a Wave with SAP Autonomous Supply Chain

Why Nominal Capacity Produces Unrealistic Production Plans

Jean-François Nordmann proposes ten governance laws for vibe-coded Supply Chain applications

Oracle Supply Chain Management

IFS Cloud

Microsoft Dynamics 365 Supply Chain Management

Oracle Fusion Cloud SCM

SAP

C3 AI

Augury

Siemens Digital Industries Software

ABB

SSI Schäfer

Marco Macchi